Skip to main content

Inrix mobile app provides real time travel , route information

The new Inrix Traffic mobile app uses machine learning to predict and personalise the user’s routes, destinations and alerts, adding favourite places automatically. Based on learned activities, it creates a daily, driver-specific itinerary of anticipated trips, as well as frequent and preferred routes. By accessing calendar information on a mobile device, the app also adds events with addresses to the daily driving itinerary.
July 1, 2016 Read time: 1 min
Mobile app takes the guesswork out of navigation

The new 163 Inrix Traffic mobile app uses machine learning to predict and personalise the user’s routes, destinations and alerts, adding favourite places automatically. Based on learned activities, it creates a daily, driver-specific itinerary of anticipated trips, as well as frequent and preferred routes.

By accessing calendar information on a mobile device, the app also adds events with addresses to the daily driving itinerary.

Inrix Traffic uses crowd-sourced network of over 275 million connected cars and devices to offer accurate map and real-time information; it proactively monitors road conditions to alert drivers of ideal departure times, changes to arrival times and optimal routes to frequent or scheduled destinations based on real-time traffic.

Available in eight languages in 16 countries across North America and Europe, with additional countries coming soon, Inrix Traffic is available worldwide now in the Apple App Store and Google Play.

For more information on companies in this article

Related Content

  • The search for travel management's Holy Grail
    October 10, 2018
    Combining accurate network estimates and forecasts with real-time information is the way to deal with traffic hot spots. Alan Dron looks at products which aim to achieve just that. Traffic management authorities have for years been trying to get ahead of the game. Instead of reacting to situations, they want to be able to head them off as they occur – or even before they happen. Finding that Holy Grail of successfully anticipating problems will save time, tension and tempers on city streets. Two new system
  • Colorado DoT locates data-rich environment
    January 14, 2020
    Colorado DoT and Esri have been cooperating to unlock data’s potential. Jason Barnes finds out what that has to do with firing a howitzer at snowy mountains – and exactly why things that happened in the past point the way towards future proofing
  • NextBus meets the demand for real-time passenger information
    December 18, 2014
    Cubic Transportation Systems’ subsidiary, NextBus has been awarded three prestigious contracts totalling more than US$4.3 million for its in-demand real-time passenger information systems (RTPI) product suite. The San Francisco Municipal Transportation Agency (SFMTA) has exercised an option with NextBus valued at US$2 million under a contract awarded in 2013. The contract includes the RTPI system that NextBus hosts for Muni as well as maintaining onboard hardware, bus shelter signs and LCDs in subways.
  • Optibus gets its message across
    October 25, 2024
    Passenger Billboards convert complex service data into information displays